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Table 4 Association between Dysnatremia and In-Hospital mortality. Comparison of the different regression models

From: Association between borderline dysnatremia and mortality insight into a new data mining approach

Association Between Borderline Hyponatremia and Mortality
  OR (IC95%) P AIC
Classical Modela 1.98 (1.73–2.68) <.001 8098.4
PheWAS Modelb 2.59 (2.28–2.94) <.001 11,002
Final Modelc 1.57 (1.35–1.81) <.001 7585.5
Association Between Borderline Hypernatremia and Mortality
  OR (IC95%) P AIC
Classical Modeld 3.72(1.53–8.45) <.001 6077.9
PheWAS Modele 6.23(4.60–8.33) <.001 8761.9
Final Modelf 3.47(2.43–4.90) <.001 5920.8
  1. Confounding Factors Retained in the different models:
  2. aClassical model: age, duration of hospital stay, number of ICD-10 codes, hospital admissions via the emergency department, ICU stay, dialysis, palliative care, Charlson Comorbidity Index
  3. bPheWAS model: A41, I20, I25, I48, I71, J15, J80, J96, K65, R07, R57, Z48, Z51
  4. cFinal model: classical model + I20, I25, I48, J80, R57, Z48, Z51
  5. dClassical model: age, duration of hospital stay, number of ICD-10 codes, hospital admissions via the emergency department, ICU stay, dialysis, palliative care, Charlson Comorbidity Index
  6. ePheWAS model: J69, J80, J96, N17, R57, S06
  7. fFinal model: classical model + J69, J80, R57, S06